Lifecycle assessment (LCA) / footprint calculation tool
Digital Product Passport (DPP) / product transparency tool
Green Story
Green Story is an AI-first sustainability platform focused on lifecycle assessment (LCA) and footprint calculations, as well as digital product passports (DPP) for product transparency, primarily targeting brands and suppliers in apparel, home textiles, and footwear segments. It supports SMEs with adaptations and enables semi-autonomous, regulation-ready solutions by integrating automation, embedded expertise, and comprehensive traceability for chemical substances, environmental impacts, and supply chains. Key strengths include LCA calculation capabilities across frameworks like ISO 14040 and EU PEF, risk assessment tools, and consumer-facing access via QR codes.
AI-generated from all supplier submitted data.
Quick facts
Website
Started (year)
Country of origin
SME adaption
Blockchain implementation
API integration approach
Free test version
Primary data contributors
Details
Description by tool provider
AI-first sustainability platform that helps brands and suppliers turn sustainability from a burden into a built-in capability. Combining an intelligent, automation-driven platform with embedded sustainability expertise, we provide a semi-autonomous regulation-ready solution.
Use case or testimonial
Product segments covered by the tool
- Apparel
- Home textiles
- Textile & leather accessories and goods -
- Footwear
Platform technologies
- Software-as-a-Service (SaaS)
- Multi-tenant system design
- Role-based access control (RBAC)
- Blockchain / Distributed Ledger Technology
- Automated rules engine
- AI/Machine learning models
- QR code tagging
Data input/output methods
- Bulk upload/export (Excel / CSV)
- Manual data entry
- Inbound APIs
- Outbound APIs
- Event-based APIs (webhooks, outbound)
- Workflow automation
- IFTTT-style automation connectors
- Reporting export
- Scheduled file import/export
Chemical substance traceability
Chain-of-custody is a continuity capability; composition and substance traceability are depth capabilities. Neither replaces the other.
- Supplier visibility/supply chain mapping - The system stores structured information about suppliers beyond Tier 1 (e.g. role, tier, location).
- Product–supplier association - Specific products (styles, SKUs, batches) are linked to the suppliers involved in their production.
- Material flow / chain-of-custody tracking - Material inputs, outputs, and transformations between supply-chain actors are recorded using a defined chain-of-custody model.
- Product composition / component traceability - Products are represented as structured compositions (e.g. components, ingredients) that can be independently traced to upstream sources.
- Process & substance (chemical) traceability - Substances used in manufacturing processes can be recorded and linked to facilities, process steps, and affected products.
Sustainability Impact categories
Impact data coverage describes which sustainability-related topics a platform can store and manage data for. It does not indicate the quality of the data, the methodology used, or whether impacts meet specific regulatory thresholds.
- Material attributes - (e.g. fiber type, recycled / biobased content, origin attributes)
- Life Cycle Assessment (LCA) data - (e.g. environmental footprint indicators at product or material level)
- Carbon & energy data - (e.g. GHG emissions, energy use, Scope-related data)
- Water use & wastewater data - (e.g. water withdrawal, consumption, discharge, wastewater treatment data)
- Chemical impact & compliance data - (e.g. restricted substances, chemical inventories, compliance status)
- Supplier processes & practices - (e.g. production processes, management systems, operational practices)
- Human rights & working conditions - (e.g. labor practices, social compliance data)
Types of sustainability impact data
Impact data coverage indicates what topics a system can handle; traceability capabilities indicate how precisely that data can be linked to products, materials, and processes.
- Qualitative data - (e.g. yes/no answers, self-assessments, policy statements)
- Quantitative data - (e.g. numeric values, measurements, calculated indicators)
- Verification & audit evidence - (e.g. audit results, third-party verification status)
- Certificates & formal attestations - (e.g. certificates linked to suppliers, materials, or products)
- Calculated / derived indicators - (e.g. system-generated metrics based on underlying data)
Life Cycle Assessment (LCA) handling
Product carbon footprint (PCF) calculations represent a single impact category and do not constitute a full Life Cycle Assessment (LCA), which covers multiple environmental impact categories across the product life cycle
- Life Cycle Inventory (LCI) data can be stored and managed - (e.g. LCA-ready process inputs/outputs, background data, activity data)
- LCA results from external tools can be imported and stored - (e.g. impact indicators calculated elsewhere)
- The platform includes LCA calculation functionality - (e.g. impacts are calculated within the system - multiple impact categories)
LCA frameworks supported
- ISO 14040 / 14044
- EU Product Environmental Footprint (PEF)
- French Ecobalyse / Eco Score
- EPD
Risk assessment support
Risk assessment functionality indicates whether a platform supports identifying, prioritising, or visualising potential sustainability or compliance risks. Approaches vary significantly between tools and may rely on user-defined criteria, predefined rules, or system-generated indicators. Risk assessments are intended to support prioritisation and decision-making. They do not in themselves constitute legal compliance or due diligence.
- Risk visualisation and hotspot identification - (e.g. dashboards, maps, or prioritisation views)
- Data-driven risk indicators are generated by the system - (e.g. risk signals based on traceability or impact data)
Value chain actors involved in data exchange
- Brand / retailer users - (e.g. internal teams managing products, suppliers, or reporting)
- Tier 1 suppliers - (e.g. cut-and-sew factories, final assemblers)
- Tier 2 suppliers - (e.g. mills, dye houses, processors)
- Tier 3+ suppliers - (e.g. raw material processors, fiber producers)
- Service providers / auditors / certification bodies - (e.g. third-party verification or compliance actors)
- Consumers or external stakeholders - (e.g. read-only access via QR/DPP)
- Logistics or downstream partners - (e.g. distributors, recyclers, end-of-life actors)
Consumer-facing access to product data
- Consumer-facing product views are provided - (e.g. via QR code, URL, or Digital Product Passport interface)
- Consumer-facing content is configurable by the brand - (e.g. control over which data is displayed)
- External stakeholder access (read-only) - (e.g. regulators, auditors, partners)
Digital Product Passport (DPP) development activity
We have had a mature DPP system since 2020. We've built and deployed this over 100s of brands and suppliers. Examples can be found on our website, but also in news releases: https://www.greenstory.io/blogs/how-leo-workwear-uses-verified-data-to-showcase-sustainability-with-green-story
EU regulatory readiness
Regulatory readiness reflects how a provider monitors and responds to evolving EU sustainability and supply chain regulations. It does not constitute a claim of legal compliance, as regulatory scope and timelines are still evolving.
We're highly influenced by this. As a Cirpass to CoP and EWG member, our roadmap plans for upcoming regulation.